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研究生:胡國華
研究生(外文):Guo-Hua Hu
論文名稱:多重延遲頻率域演算法在DSP之實現
論文名稱(外文):A DSP Implementation of Multidelay Block Frequency Domain Algorithm
指導教授:李仲溪黃紹華黃紹華引用關係
指導教授(外文):Junghsi LeeShao-Hua Huang
學位類別:碩士
校院名稱:元智大學
系所名稱:電機工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2001
畢業學年度:89
語文別:中文
論文頁數:58
中文關鍵詞:數位訊號處理
外文關鍵詞:DSP
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免手持通訊系統的應用有免手持聽筒電話、視訊會議、遠距教學及遠端醫療等系統,此種通訊系統必需解決聲學迴音之問題。可適性濾波器提供這個問題的有效解決方法。
首先本篇論文介紹適應演算法LMS家族與聲學迴音消除架構,進而以德州儀器的TMS320C32的浮點DSP處理器,實現適應演算法的NLMS與MDF應用在聲學迴音消除上。最後我們將這些演算法在實作方面作實際的運算量分析、比較。我們發現NLMS演算法架構簡單而且容易實現,適合短迴音路徑。MDF演算法其架構較為複雜,但是對於長迴音路徑,有其運算量少的優勢。
Hands-free communications system finds applications in hands-free phone, video conferencing system, and distance learning/medicine system. Adaptive filtering algorithm provides an effective means for solving the acoustic echo problem associated with such system.
In this thesis, we briefly review the algorithms of LMS family. The acoustic echo cancellation configuration is then presented. We implement the normalized LMS and the MDF algorithm with Texas Instruments TMS320C32 floating DSP processor. Finally, we study and analyze the number of operations required in implementation. Our study shows that the NLMS algorithm is simple in structure, easy to implement, and suitable for short echo path applications. The MDF algorithm is quite complicated, however, it is very fast in the long echo path applications.
中文摘要i
英文摘要ii
致謝iii
目錄………….iv
圖目錄vi
表目錄viii
第一章簡介1
1.1背景介紹1
1.2論文組織4
第二章適應演算法之介紹5
2.1簡介5
2.2NLMS演算法(Normalized Least-Mean-Square Algorithm)5
2.3Block LMS 演算法(Block Least-Mean-Square Algorithm)7
2.4FBLMS 演算法(Frequency Domain Block LMS)9
2.5MDF 演算法(Multidelay Block Frequency Domain LMS Algorithm)
13
2.6結論16
第三章以DSP與NLMS為基礎之迴音消除系統研究與實作19
3.1DSP軟硬體的環境簡介19
3.2聲學迴音消除的基本架構26
3.3NLMS演算法的核心程式29
3.4實驗結果分析32
3.5計算量分析與討論36
3.6系統展示40
第四章以DSP與MDF為基礎之迴音消除系統研究與實作41
4.1 MDF演算法的核心程式41
4.2 實驗數據分析44
4.3計算量分析與討論49
4.4系統展示55
第五章結論56
參考文獻 57
[1]E. R. Ferrara, "Fast implementation of LMS adaptive filters," IEEE Transactions on Acoustic, Speech, and Signal Processing, Vol. ASSP-28, No. 4, pp. 474-475, Aug. 1980.
[2]G. A. Clark, S. K. Mitra and S. R. Parker, "Block implementation of adaptive digital filters," IEEE Transactions on Acoustic, Speech, and Signal Processing, Vol. ASSP-29, No. 3, pp. 744-752, June 1981.
[3]G. V. Moustalides and S. Theodoridis, "Fast Newton transversal filters-A new class of adaptive estimation algorithms," IEEE Transactions on Signal Processing, Vol. 39, No. 10, pp. 2184-2193, Oct. 1991.
[4]J. Prado and E. Moulines, "Frequency-domain adaptive filtering with applications to acoustic echo cancellation," ANN Telecommun, 49, no 7-8, 1994.
[5]J. J. Shynk, "Frequency-domain and multirate adaptive filterings," IEEE Signal Processing Magazine, Vol. 9, No. 1, pp. 14-37, Jan. 1992.
[6]J. Soo and K. K. Pang, "Multidelay block frequency domain adaptive filter," IEEE Transactions on Signal Processing, Vol. 38, No. 2, pp. 373-376, Feb. 1990.
[7]L.S.I., User Documentation, PC/C32 Real-Time Applications Platform," 1998.
[8]R. Chassaing, "Digital Signal Processing Laboratory Experiments Using C and TMS320C31 DSK," John Wiley & Sons, Inc., 1999.
[9]Spectrum Signal Processing, ? DSP Systems Catalog," 1998.
[10]S. Haykin, "Adaptive Filter Theory," third edition, Prentice Hall, 1996.
[11]T. Petillon, A. Gilloire and S. Theodoridis, "The fast Newton transversal filter: An efficient scheme for acoustic echo cancellation in mobile radio," IEEE Transactions on Signal Processing, Vol. 42, No. 3, pp. 509-518, Mar. 1994.
[12]Texas Instruments, "TMS320C3x C Source Debugger," 1993.
[13]Texas Instruments, TMS320C3x/c4x Optimizing C Compiler, 1997.
[14]Texas Instruments, TMS320C3x User''s Guide, 1997.
[15]Texas Instruments, TMS320C3x/4x Assembly Language Tools User''s Guide, 1997.
[16]Texas Instruments, TMS320C3x General-Purpose Applications User''s Guide, 1998.
[17]李仲溪, "聲學迴音消除," 電腦與通訊月刊, 第四十六期, pp.58-66, 1.5.1996.
[18]林進達, "聲學迴音消除," 電腦與通訊月刊, 第四十九期, pp.11-18, 5.5.1996.
[19]胡竹生、陳榮偉, "定點數位訊號處理器應用程式設計與實驗," 全華科技圖書, 1998.
[20]高廷榕, 聲學迴音消除之適應性濾波器之研究, 私立元智大學碩士論文, 1999.
[21]孫宗瀛、謝鴻琳, "TMS320C5x DSP原理設計與應用," 全華科技圖書,1999.
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